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Mejores libros de estadísticas

Mejora tu comprensión de los datos y la probabilidad con esta selección de los libros de estadísticas más recomendados, como aparecen en destacados blogs y publicaciones de libros.

Recomendaciones de 41 artículos, Bill Gates, Neil deGrasse Tyson, Tim O’Reilly y 19 más.
Mejores libros de estadísticas
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Naked Statistics book cover
Naked Statistics
Stripping the Dread from the Data
Charles Wheelan - 2014-01-13 (publicado por primera vez en 2012)
Calificación de Goodreads
Discover the exciting world of statistics and its real-world applications in Naked Statistics. In this engaging book, Charles Wheelan simplifies complex concepts and shows us how data and statistics can be used to answer pressing questions, from cheating schools to rising autism rates. With insightful examples, including Schlitz Beer marketers and Let's Make a Deal, Wheelan brings statistics to life and strips away the technical details to focus on intuition. For those who struggled through Stats 101 or anyone curious about the power of data, Naked Statistics is a must-read.
An Introduction to Statistical Learning book cover
An Introduction to Statistical Learning
with Applications in R (Springer Texts in Statistics)
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani - 2013-06-25
Calificación de Goodreads
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modelin...
Recomendado por
Chris Albon
Practical Statistics for Data Scientists book cover
Practical Statistics for Data Scientists
50+ Essential Concepts Using R and Python
Peter Bruce - 2020-06-16
Calificación de Goodreads
This book is a must-have for aspiring data scientists who lack formal statistical training. It explores statistical methods from a data science perspective and provides practical guidance on their application. The second edition includes comprehensive examples in Python and advice on avoiding their misuse. You'll learn all about exploratory data analysis, random sampling, experimental design, regression, and more. Plus, the book covers unsupervised learning methods for extracting meaning from unlabeled data. If you're familiar with R or Python and have some exposure to statistics, this accessible reference will bridge the gap for you.
The Elements of Statistical Learning book cover
The Elements of Statistical Learning
Data Mining, Inference, and Prediction (Springer Series in Statistics)
Trevor Hastie - 2003-01-01 (publicado por primera vez en 2001)
Calificación de Goodreads
Discover the world of data mining and machine learning with this comprehensive guide. Written by three prominent professors of statistics, this book provides a common conceptual framework for understanding the tools and ideas in various fields such as medicine, biology, finance, and marketing. With a focus on concepts rather than mathematics, it covers a broad range of topics including neural networks, support vector machines, classification trees, and boosting. With many examples and color graphics, this is a valuable resource for statisticians and anyone interested in data mining in science or industry.
Think Stats book cover
Think Stats
Exploratory Data Analysis
Allen B. Downey - 2011-08-23
Calificación de Goodreads
Learn how to turn data into knowledge with an introduction to statistical analysis using Python. By working through a single case study, this book teaches the entire process of data analysis, from collecting data to identifying patterns and testing hypotheses. Discover distributions, rules of probability, visualization, and more through writing and testing code. With new chapters on regression, time series analysis, survival analysis, and analytic methods, gain a deeper understanding of statistical inference to answer real-world questions.
All of Statistics book cover
All of Statistics
A Concise Course in Statistical Inference (Springer Texts in Statistics)
Larry Wasserman - 2003-12-04
Calificación de Goodreads
Learn probability and statistics quickly with this book, covering a broad range of topics beyond typical introductory math books. Perfect for graduate or advanced undergrads in computer science, math, statistics, and related disciplines. Get familiar with modern topics like nonparametric curve estimation, bootstrapping, and classification, without needing prior knowledge. Discover the intersection of statistics, data mining, and machine learning, and how statisticians and computer scientists are working together to advance these fields.
Statistics in Plain English book cover
Statistics in Plain English
Timothy C. Urdan - 2005-02-22 (publicado por primera vez en 2001)
Calificación de Goodreads
A straightforward and accessible guide to statistics, this textbook covers the basics and beyond, from central tendency to advanced concepts like regression and ANOVA. Each chapter includes a short description of the statistic, an in-depth explanation, an example, and a glossary of terms. The fourth edition features work problems and examples from the author's own data and published research, as well as a website with PowerPoint presentations, interactive problems, and more. Perfect for undergrad or graduate statistics courses, or as a reference tool for anyone interested in refreshing their memory.
Head First Statistics book cover
Head First Statistics
A Brain-Friendly Guide
Dawn Griffiths - 2008-09-30
Calificación de Goodreads
Discover the fascinating world of statistics with an engaging and interactive book that brings this typically dry subject to life. With Head First Statistics, you'll learn everything you want and need to know about statistics through thought-provoking material, full of puzzles, stories, quizzes, and real-world examples. Whether you're a student or just curious, this brain-friendly formula helps you get a firm grasp of statistics so you can understand key points and actually use them. Master topics such as probability, expectation, sampling, regression, hypothesis testing, and much more. Ideal for high school and college students, Head First Statistics satisfies the requirements for passing the AP Statistics Exam. Get ready to see how statistics work in the real world!
Statistics Done Wrong book cover
Statistics Done Wrong
The Woefully Complete Guide
Alex Reinhart - 2015-03-16 (publicado por primera vez en 2013)
Calificación de Goodreads
Learn how to avoid common statistical fallacies and analyze data correctly with "Statistics Done Wrong". This book offers cautionary tales of mistakes made by even the most knowledgeable scientists and teaches you the best practices for avoiding those errors. Discover the ideas behind hypothesis testing and regression analysis, how to ask the right questions, design experiments, and work with data. Through colorful examples of statistics gone awry, this book offers approachable lessons for proper methodology, and pro tips for practicing scientists and statisticians. Improve your data analysis skills with "Statistics Done Wrong".
El arte de la estadística book cover
El arte de la estadística
How to Learn from Data
David Spiegelhalter - 2019-09-03
Calificación de Goodreads
La guía definitiva del pensamiento estadístico. Las estadísticas están en todas partes, tanto en la ciencia como en los negocios, y en los medios de comunicación populares cientos de veces al día. En esta era de los grandes datos, un conocimiento básico de la estadística es más importante que nunca si queremos separar los hechos de la ficción, los adornos ostentosos de las pruebas en bruto, y más aún si esperamos participar en el futuro, en lugar de ser simples espectadores. En ‘El arte de la estadística’, el reconocido estadístico David Spiegelhalter muestra a los oyentes cómo extraer conocimientos de los datos en bruto centrándose en los conceptos y las conexiones que hay detrás de las matemáticas. Basándose en ejemplos del mundo real para introducir cuestiones complejas, nos muestra cómo la estadística puede ayudarnos a determinar cuál fue el pasajero más afortunado del Titanic, si un famoso asesino en serie podría haber sido capturado antes y si el cribado del cáncer de ovarios es beneficioso. ‘El arte de la estadística’ no sólo nos muestra cómo los matemáticos han utilizado la ciencia estadística para resolver estos problemas, sino que también nos enseña cómo podemos pensar como estadísticos. Aprendemos a aclarar nuestras preguntas, suposiciones y expectativas al abordar un problema, y -quizás aún más importante- aprendemos a interpretar responsablemente las respuestas que recibimos.
Recomendado por
Dan Davies
Introduction to Probability by Joseph K. Blitzstein
AP Statistics with Online Tests by Martin Sternstein
La señal y el ruido by Nate Silver
Statistics, 11th Edition by Robert S. Witte
How Not to Be Wrong by Jordan Ellenberg
Applied Predictive Modeling by Max Kuhn
Pattern Recognition and Machine Learning by Christopher M. Bishop
Discovering Statistics Using R by Andy Field
Bayesian Data Analysis by Andrew Gelman
Statistical Inference by Roger L. Berger George Casella
Piensa como un freak by Steven D. Levitt
The Visual Display of Quantitative Information by Edward R. Tufte
R for Data Science by Hadley Wickham
Statistical Methods (Combined Vol), 1Ed by DAS
Introduction to Probability by Dimitri P. Bertsekas
Computer Age Statistical Inference by Bradley Efron
OpenIntro Statistics by David M Diez
Estadística para investigadores. Diseño, innovación y descubrimiento by George E. P. Box
Bayesian Methods for Hackers by Cameron Davidson-Pilon Davidson-Pilon
Statistics by AI Publishing
Statistics II for Dummies by Deborah J. Rumsey
Principles of Statistics by M. G. Bulmer
Statistics by David Freedman
El hombre anumérico by John Allen Paulos
You Are Not So Smart by David McRaney
La estadística en cómic by Larry Gonick
The Complete Idiot's Guide to Statistics by Robert A. Donnelly Jr.
Probability and Statistical Inference by Robert V. Hogg
Statistical Methods by S.P. Gupta
Estadística para Dummies by Deborah J. Rumsey
Mathematical Statistics with Applications by Dennis Wackerly
Introduction to Mathematical Statistics by Robert V. Hogg
Statistics for Engineers and Scientists by William Navidi
Statistics for Business and Economics by James T. McClave
Statistics by Alan Agresti
Armas de destrucción matemática by Cathy O'Neil
Cómo mentir con estadísticas by Darrell Huff
Statistics by James T. McClave